ISBN: 9780792342915 - robust discrete optimization and its applications: 14 (13 resultados)

hardcover. Condición: Gut. 374 Seiten; 9780792342915.3 Gewicht in Gramm: 1.

Condición: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Condición: Good. Good; Hardcover; Covers are still glossy, but with a few handling-marks to the back cover; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Light purple covers with title in black lettering; 1996, Springer-Verlag Publishing; 358 pages; "Robust Discrete Optimization and Its Applications (Nonconvex Optimization and Its Applications)," by Panos Kouvelis & Gang Yu.…

Gebunden. Condición: New.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Gebundene Ausgabe. Condición: Neu. Neu Neuware, Importqualität, auf Lager - This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: - It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; - It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; - It accounts for the risk averse nature of decision makers; and - It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.…

Condición: New. This text deals with decision-making in environments of significant data uncertainty, with particular emphasis on operations and production management applications. It provides a comprehensive mathematical programming framework for robust decision making. Series: Nonconvex Optimization and Its Applications. Num Pages: 374 pages, biography. BIC Classification: PBU; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 22. Weight in Grams: 708. . 1996. Hardback. . . . .…

Condición: gut. 1996. Robust Discrete Optimization and Its Applications (Nonconvex Optimization and Its Applications, 14, Band 14) In englischer Sprache. pages.

Condición: New. This text deals with decision-making in environments of significant data uncertainty, with particular emphasis on operations and production management applications. It provides a comprehensive mathematical programming framework for robust decision making. Series: Nonconvex Optimization and Its Applications. Num Pages: 374 pages, biography. BIC Classification: PBU; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 22. Weight in Grams: 708. . 1996. Hardback. . . . . Books ship from the US and Ireland.…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: - It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; - It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; - It accounts for the risk averse nature of decision makers; and - It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making. 378 pp. Englisch.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: ¿ It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; ¿ It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; ¿ It accounts for the risk averse nature of decision makers; and ¿ It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 378 pp. Englisch.…